Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
(TU/e)CountryNetherlandsCityEindhovenPostal Code5612 APStreetDe Rondom 70Geofield Where to apply Website https://www.academictransfer.com/en/340368/phd-on-ai-assisted-surrogate-modelin… Contact City
-
to apply Website https://www.academictransfer.com/en/340380/phd-on-bioinspired-composites-manufa… Contact City Eindhoven Website http://www.tue.nl/ Street De Rondom 70 Postal Code 5612 AP STATUS: EXPIRED
-
program for PhD students (PROOF program ). To develop your teaching skills, you will spend 10% of your employment on teaching and/or student supervision tasks. A gross monthly salary and benefits (such as a
-
)CountryNetherlandsCityEindhovenPostal Code5612 APStreetDe Rondom 70Geofield Where to apply Website https://www.academictransfer.com/en/340279/phd-on-grapheneoxide-colloids-from-p… Contact City Eindhoven Website http://www.tue.nl/ Street
-
APStreetDe Rondom 70Geofield Where to apply Website https://www.academictransfer.com/en/340301/phd-on-real-time-rendering-of-diffus… Contact City Eindhoven Website http://www.tue.nl/ Street De Rondom 70 Postal
-
Application Deadline 31 May 2024 - 22:00 (UTC) Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by an EU
-
the Chair of the Urban Planning and Transportation Group? Are you eager to supervise BSc and MSc students and co-supervising PhD candidates, and teach lectures/courses and supervise student projects
-
your PhD and to prepare you for the rest of your career, you will have free access to a personal development program for PhD students (PROOF program). A gross monthly salary and benefits following
-
optics. Journal of Scientific Computing, 89, [27]. https://doi.org/10.1007/s10915-021-01612-x PhD vacancies As part of the research program Optical coherence; optimal delivery and positioning (OPTIC) we
-
-life complexity of such tasks in urban conditions, and the many edge cases that can be encountered, it is practically impossible to gather all-encompassing training data. This PhD project is designed